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所在平台: Udemy |
课程主页: https://www.udemy.com/course/deep-reinforcement-learning/
课程评论：没有评论
课程名称：人工智能 2.0：AI、Python、DRL + ChatGPT 奖 课程概述： 本课程名为“人工智能 2.0”，旨在教授学员一种名为“双延迟深度确定性策略梯度”（TD3）的新型智能AI模型。TD3 结合了当前人工智能领域的尖端技术，包括连续双深度Q学习、策略梯度和Actor-Critic。该模型强大到足以解决极具挑战性的虚拟AI应用，例如训练仿人机器人（蚂蚁/蜘蛛和半人形机器人）在场地中行走和奔跑。 课程结构分为三个部分： 第一部分：基础知识 本部分将深入讲解人工智能的基础概念，包括Q-Learning、Deep Q-Learning、Policy Gradient、Actor-Critic等，为理解和掌握TD3模型奠定坚实基础。 第二部分：双延迟DDPG理论 本部分将详细阐述TD3模型的完整理论。通过清晰的可视化幻灯片，学员将深入了解模型的构建和训练过程，并培养对AI学习和工作原理的深刻直觉。基础知识与详细理论相结合，将使高度先进的TD3模型变得易于理解和掌握。 第三部分：双延迟DDPG实现 本部分将从零开始，分步实现TD3模型。通过互动式编程练习，学员将积极动手实践，而非被动学习，从而有效提升技能。整个实现过程将在Google Colab（一个免费开源的AI平台）上进行，无需在本地安装任何软件。学员可以确信，通过执行代码，AI将开始训练，最终生成蜘蛛和人形机器人奔跑的视频。 课程鼓励学员积极学习，拥抱人工智能的强大力量。
Welcome to Artificial Intelligence 2.0!In this course, we will learn and implement a new incredibly smart AI model, called the Twin-Delayed DDPG or TD3, which combines state of the art techniques in Artificial Intelligence including continuous Double Deep Q-Learning, Policy Gradient, and Actor Critic. The model is so strong that for the first time in our courses, we are able to solve the most challenging virtual AI applications (training an ant/spider and a half humanoid to walk and run across a field).To approach this model the right way, we structured the course in three parts:Part 1: FundamentalsIn this part we will study all the fundamentals of Artificial Intelligence which will allow you to understand and master the AI of this course. These include Q-Learning, Deep Q-Learning, Policy Gradient, Actor-Critic and more.Part 2: The Twin-Delayed DDPG TheoryWe will study in depth the whole theory behind the model. You will clearly see the whole construction and training process of the AI through a series of clear visualization slides. Not only will you learn the theory in details, but also you will shape up a strong intuition of how the AI learns and works. The fundamentals in Part 1, combined to the very detailed theory of Part 2, will make this highly advanced model accessible to you, and you will eventually be one of the very few people who can master this model.Part 3: The Twin-Delayed DDPG ImplementationWe will implement the model from scratch, step by step, and through interactive sessions, a new feature of this course which will have you practice on many coding exercises while we implement the model. By doing them you will not follow passively the course but very actively, therefore allowing you to effectively improve your skills. And last but not least, we will do the whole implementation on Colaboratory, or Google Colab, which is a totally free and open source AI platform allowing you to code and train some AIs without having any packages to install on your machine. In other words, you can be 100% confident that you press the execute button, the AI will start to train and you will get the videos of the spider and humanoid running in the end.So are you ready to embrace AI at full power?Come join us, never stop learning, and enjoy AI!
